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Shing Chan
Shing Chan
在 ndph.ox.ac.uk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Parametric generation of conditional geological realizations using generative neural networks
S Chan, AH Elsheikh
Computational Geosciences 23 (5), 925-952, 2019
212*2019
A machine learning approach for efficient uncertainty quantification using multiscale methods
S Chan, AH Elsheikh
Journal of Computational Physics 354, 493-511, 2018
922018
Parametrization and generation of geological models with generative adversarial networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1708.01810, 2017
912017
Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease
R Walmsley, S Chan, K Smith-Byrne, R Ramakrishnan, M Woodward, ...
British journal of sports medicine 56 (18), 1008-1017, 2022
662022
Parametrization of stochastic inputs using generative adversarial networks with application in geology
S Chan, AH Elsheikh
Frontiers in Water 2, 5, 2020
422020
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
H Yuan, S Chan, AP Creagh, C Tong, A Acquah, DA Clifton, A Doherty
NPJ digital medicine 7 (1), 91, 2024
272024
Impact of reduced sampling rate on accelerometer-based physical activity monitoring and machine learning activity classification
S Small, S Khalid, P Dhiman, S Chan, D Jackson, A Doherty, A Price
Journal for the Measurement of Physical Behaviour 4 (4), 298-310, 2021
262021
Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular …
R Walmsley, S Chan, K Smith-Byrne, R Ramakrishnan, M Woodward, ...
MedRxiv, 2020.11. 10.20227769, 2020
102020
Development and validation of a machine learning wrist-worn step detection algorithm with deployment in the UK biobank
SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ...
MedRxiv, 2023
92023
Data-driven acceleration of multiscale methods for uncertainty quantification: application in transient multiphase flow in porous media
S Chan, AH Elsheikh
GEM-International Journal on Geomathematics 11, 1-19, 2020
42020
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1809.07748, 2018
32018
Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants
Y Chen, S Chan, D Bennett, X Chen, X Wu, Y Ke, J Lv, D Sun, L Pan, ...
International Journal of Behavioral Nutrition and Physical Activity 20 (1), 138, 2023
22023
Amount and intensity of physical activity and risk of incident cancer in the UK Biobank
MAH Shreves, SR Small, R Walmsley, S Chan, PF Saint-Maurice, ...
medRxiv, 2023
12023
36 The added value of device measured physical activity to the prediction of incident cardiovascular disease
A Sturge, C Harper, S Chan, S Van Duijvenboden, D Bennett, B Casadei, ...
Heart 110 (Suppl 3), A40-A41, 2024
2024
Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ...
Medicine and Science in Sports and Exercise, 2024
2024
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
S Chan, H Yuan, C Tong, A Acquah, A Schonfeldt, J Gershuny, A Doherty
arXiv preprint arXiv:2402.19229, 2024
2024
Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants
Y Chen, S Chan, D Bennett, X Chen, X Wu, Y Ke, J Lv, D Sun, L Pan, ...
The International Journal of Behavioral Nutrition and Physical Activity 21, 2024
2024
Implementación de código CFD Paralelo para flujo compresible
SC Chan Chang, G Weht, M Montes
III Congreso Argentino de Ingeniería Aeronáutica (CAIA 3)(La Plata 2014), 2014
2014
Aerodinámica compresible inestacionaria
AA Figueroa, G Weht, C Sacco, SC Chan Chang
III Congreso Argentino de Ingeniería Aeronáutica (CAIA 3)(La Plata 2014), 2014
2014
Learning the Arrow of Time for Human Activity Recognition: A Study on 700,000 Person-days of Wearable Data
H Yuan, S Chan, A Doherty
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